Remote Data Scientist – Advanced Machine Learning & Computer Vision – $27/hr – Full‑Time – arenaflex

About arenaflex – Pioneering the Future of Intelligent Devices

arenaflex is a global leader in consumer technology, renowned for creating products that blend cutting‑edge hardware with sophisticated software. Our mission is to empower people worldwide by delivering seamless, intuitive experiences that bridge the physical and digital worlds. From groundbreaking augmented reality (AR) platforms to next‑generation computer vision solutions, arenaflex continuously pushes the boundaries of what technology can achieve. As we expand our research and development footprint, we are looking for visionary data scientists who thrive in a fast‑paced, collaborative environment and are eager to shape the next wave of intelligent products.

Position Overview

We are seeking a highly motivated Remote Data Scientist to join our Video Planning team. In this role, you will design, develop, and operationalize advanced machine‑learning pipelines that power arenaflex’s computer vision and video analytics initiatives. You will work closely with cross‑functional groups—including AI research, cloud infrastructure, and product engineering—to extract insights from massive datasets, build predictive models, and ensure the highest standards of data quality and reliability. This is a full‑time, remote position offering a competitive rate of $27 per hour.

Key Responsibilities

• Develop and implement scalable data‑processing pipelines for large‑scale video and image datasets.
• Design, train, and evaluate deep learning models for tasks such as object detection, scene understanding, and motion analysis.
• Collaborate with the AI research team to translate state‑of‑the‑art research into production‑ready solutions.
• Perform rigorous statistical analysis to validate model performance and identify opportunities for improvement.
• Generate clear, data‑driven visualizations and reports for senior leadership and stakeholder groups.
• Partner with cloud infrastructure engineers to deploy models at scale, ensuring low latency and high availability.
• Maintain and improve data quality standards, including data validation, cleansing, and documentation.
• Contribute to the continuous improvement of the data science workflow by introducing best practices, automation, and reproducibility.
• Mentor junior team members and share knowledge across interdisciplinary teams.

Essential Qualifications

• Education: Bachelor’s degree in Computer Science, Statistics, Applied Mathematics, or a related quantitative field. Advanced degrees (M.S. or Ph.D.) are a strong plus.
• Experience: Minimum 2 years of professional experience in data science, machine learning, or computer vision.
• Technical Skills: Proficiency in Python and libraries such as TensorFlow, PyTorch, scikit‑learn, and OpenCV.
• Data Handling: Hands‑on experience with large‑scale data processing frameworks (e.g., Apache Spark, Hadoop) and cloud storage solutions (e.g., AWS S3, Google Cloud Storage).
• Statistical Acumen: Strong foundation in statistical modeling, hypothesis testing, and experimental design.
• Communication: Ability to translate complex technical concepts into actionable insights for non‑technical audiences.

Preferred Qualifications

• Master’s or Ph.D. focused on machine learning, computer vision, or a related discipline.
• Experience with AR/VR data pipelines and sensor fusion (e.g., depth cameras, LIDAR).
• Familiarity with MLOps tools such as Kubeflow, MLflow, or TensorFlow Extended (TFX).
• Track record of publishing research in top conferences or journals.
• Prior work in a remote or distributed team environment.

Core Skills & Competencies

• Analytical Thinking: Ability to dissect complex problems, identify root causes, and propose data‑driven solutions.
• Collaboration: Comfortable working across multidisciplinary teams, respecting diverse perspectives, and fostering a culture of shared ownership.
• Innovation: Passion for staying ahead of emerging trends in AI, computer vision, and data engineering.
• Attention to Detail: Commitment to delivering high‑quality, reproducible work with thorough documentation.
• Adaptability: Thrive in a fast‑changing environment, quickly learning new tools and technologies as needed.

Career Growth & Learning Opportunities

At arenaflex, your professional development is a priority. As a member of the Video Planning team, you will have access to:

• Mentorship from senior AI researchers and industry experts.
• Annual learning stipend for conferences, certifications, or advanced coursework.
• Opportunities to contribute to high‑impact product features that reach millions of users worldwide.
• Clear career pathways toward senior data scientist, AI lead, or technical product manager roles.
• Cross‑team rotations that broaden your expertise across cloud infrastructure, hardware engineering, and user experience design.

Work Environment & Culture at arenaflex

arenaflex fosters an inclusive, innovative, and flexible work culture. Our remote‑first policy empowers you to work from anywhere in the United States while staying connected through regular virtual stand‑ups, collaborative tools, and quarterly in‑person meet‑ups. We celebrate diversity of thought, encourage curiosity, and support a healthy work‑life balance. Employees enjoy:

• Flexible working hours that accommodate personal commitments.
• A supportive community of peers who value knowledge sharing and mentorship.
• Health and wellness programs, including virtual fitness classes and mental‑health resources.
• Competitive compensation, performance bonuses, and a comprehensive benefits package.
• Generous paid time off, parental leave, and a holiday schedule that respects cultural diversity.

Compensation, Perks & Benefits

While the base rate for this role is $27 per hour, arenaflex offers a total rewards package that includes:

• Performance‑based bonuses tied to project milestones and individual impact.
• Health, dental, and vision insurance with employer contributions.
• Retirement savings plan with company matching.
• Technology stipend for home office setup (monitors, ergonomic furniture, high‑speed internet).
• Employee stock purchase plan, giving you a stake in arenaflex’s future success.
• Continuous learning resources, including access to online libraries, workshops, and internal hackathons.

How to Apply

If you are excited about building next‑generation machine‑learning solutions that power immersive experiences, we want to hear from you. Click the link below to submit your resume, cover letter, and any relevant portfolio or research samples. Join arenaflex and help shape the future of intelligent technology.

Apply Now

Closing Statement

arenaflex is committed to attracting top talent who are passionate about data, AI, and the transformative power of technology. By joining our Remote Data Scientist team, you will play a pivotal role in delivering groundbreaking products that redefine how people interact with the world. Take the next step in your career—apply today and become part of a visionary community that values innovation, collaboration, and impact.